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Court filings reveal OpenAI and io’s early work on an AI device

Court filings reveal openai and io’s early work on an ai device

Legal filings submitted earlier this month from lawyers representing openai and jony ive’s io reveal new details about the companies’ efforts to build...

Beyond static AI: MIT’s new framework lets models teach themselves

Beyond static ai: mit’s new framework lets models teach themselves

Mit researchers developed seal, a framework that lets language models continuously learn new knowledge and tasks.

Salesforce launches Agentforce 3 with AI agent observability and MCP support

Salesforce ローンチ agentforce 3 with ai agent observability and mcp support

Salesforce agentforce 3 has ai agent observability and native mcp support, providing real-time visibility and secure interoperability.

Databricks, Perplexity co-founder pledges $100M on new fund for AI researchers

Databricks, perplexity co-founder pledges $100m on new fund for ai researchers

Andy konwinski is pledging $100 million of his own money for a new kind of institute to fund researchers.

Leak reveals Grok might soon edit your spreadsheets

Leak reveals grok might soon edit your spreadsheets

Leaked code suggests xai is developing an advanced file editor for grok with spreadsheet support, signaling the company’s push to compete with openai,...

Four months after a $3B valuation, Harvey AI grows to $5B

Four months after a $3b valuation, harvey ai grows to $5b

The round, which comes just four months after $300 million series d, was co-led by kleiner perkins and coatue.

Over a million people now have access to the gen-AI powered Alexa+

Over a million people now have access to the gen-ai powered alexa+

Alexa+ is available for free during early access and will later be free for prime customers.

Musk’s attempts to politicize his Grok AI are bad for users and enterprises — here’s why

Musk’s attempts to politicize his grok ai are bad for users and enterprises — here’s why

As an independent business owner or leader, how could you possibly trust grok to give you unbiased results?

AllSpice’s platform is the GitHub for electrical engineering teams

Allspice’s platform is the github for electrical engineering teams

Allspice's platform sits between existing workflow software.

A Chinese firm has just launched a constantly changing set of AI benchmarks

A chinese firm has just launched a constantly changing set of ai benchmarks

When testing an ai モデル, it’s hard to tell if it is reasoning or just regurgitating answers from its 学習 data.

Why we’re focusing VB Transform on the agentic revolution – and what’s at stake for enterprise AI leaders

Why we’re focusing vb transform on the agentic revolution – and what’s at stake for enterprise ai leaders

Vb transform 2025 tackles the agentic ai revolution—how enterprises can close the infrastructure gap and turn dazzling demos into deployed, trusted ag...

Google adds AI features to Chromebook Plus devices

Google adds ai features to chromebook plus devices

Google's adding a slew of ai features to the chromebook plus line, including a search and text capture tool, notebooklm, and a tool for simplifying te...

LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?

Lego-puzzles: how good are mllms at multi-step spatial reasoning?

Arxiv:2503.

SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents

Shade-arena: evaluating sabotage and monitoring in LLM agents

Arxiv:2506.

From LLM-anation to LLM-orchestrator: Coordinating Small Models for Data Labeling

From LLM-anation to LLM-orchestrator: coordinating small models for data labeling

Arxiv:2506.

LLMs and Stack Overflow Discussions: Reliability, Impact, and Challenges

Llms and stack overflow discussions: reliability, impact, and challenges

Arxiv:2402.

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability

Aqa-bench: an interactive benchmark for evaluating llms' sequential reasoning ability

Arxiv:2402.

SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation

Ssr-zero: simple self-rewarding 強化学習 for machine translation

Arxiv:2505.

SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks

Swe-factory: your automated factory for issue resolution 学習 data and evaluation benchmarks

Arxiv:2506.

Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials

Integrating dynamical systems learning with foundational models: a meta-evolutionary ai framework for clinical trials

Arxiv:2506.

Context Matters! Relaxing Goals with LLMs for Feasible 3D Scene Planning

Context matters! relaxing goals with llms for feasible 3d scene planning

Arxiv:2506.

Web Archives Metadata Generation with GPT-4o: Challenges and Insights

Web archives metadata generation with GPT-4o: challenges and insights

Arxiv:2411.

CodeV-R1: Reasoning-Enhanced Verilog Generation

Codev-r1: reasoning-enhanced verilog generation

Arxiv:2505.

IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks

Is-bench: evaluating interactive safety of vlm-driven embodied agents in daily household tasks

Arxiv:2506.

Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal

Quantum 人工知能 for secure 自律的 vehicle navigation: an architectural proposal

Arxiv:2506.

A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders

A brain-to-population graph learning framework for diagnosing brain disorders

Arxiv:2506.

NepaliGPT: A Generative Language Model for the Nepali Language

Nepaligpt: a generative language モデル for the nepali language

Arxiv:2506.

Do We Talk to Robots Like Therapists, and Do They Respond Accordingly? Language Alignment in AI Emotional Support

Do we talk to robots like therapists, and do they respond accordingly? language alignment in ai emotional support

Arxiv:2506.

LLMs in Coding and their Impact on the Commercial Software Engineering Landscape

Llms in coding and their impact on the commercial software engineering landscape

Arxiv:2506.

TabArena: A Living Benchmark for Machine Learning on Tabular Data

Tabarena: a living benchmark for 機械学習 on tabular data

Arxiv:2506.

ParkFormer: A Transformer-Based Parking Policy with Goal Embedding and Pedestrian-Aware Control

Parkformer: a トランスフォーマー-based parking 政策 with goal embedding and pedestrian-aware control

Arxiv:2506.

BEADs: Bias Evaluation Across Domains

Beads: バイアス evaluation across domains

Arxiv:2406.

Can Large Language Models Replace Human Subjects? A Large-Scale Replication of Scenario-Based Experiments in Psychology and Management

Can large language models replace human subjects? a large-scale replication of scenario-based experiments in psychology and management

Arxiv:2409.

AssistantX: An LLM-Powered Proactive Assistant in Collaborative Human-Populated Environment

Assistantx: an LLM-powered proactive assistant in collaborative human-populated environment

Arxiv:2409.

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation

Adapting while learning: grounding llms for scientific problems with intelligent tool usage adaptation

Arxiv:2411.

Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments

Hierarchical and modular network on non-prehensile manipulation in general environments

Arxiv:2502.

Semantic Outlier Removal with Embedding Models and LLMs

Semantic outlier removal with embedding models and llms

Arxiv:2506.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning

Steering your diffusion 政策 with latent space 強化学習

Arxiv:2506.

LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models

Laion-c: an out-of-distribution benchmark for web-scale vision models

Arxiv:2506.

Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy

Harmonizing safety and speed: a human-アルゴリズム approach to enhance the FDA（米国食品医薬品局）'s 医療 device clearance 政策

Arxiv:2407.

Watermarking Language Models through Language Models

Watermarking language models through language models

Arxiv:2411.

Al-Khwarizmi: Discovering Physical Laws with Foundation Models

Al-khwarizmi: discovering physical laws with foundation models

Arxiv:2502.

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation

From general to targeted rewards: surpassing GPT-4 in open-ended long-context generation

Arxiv:2506.

Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining

Human2locoman: learning versatile quadrupedal manipulation with human pretraining

Arxiv:2506.

LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions

Llms in disease 診断: a comparative study of deepseek-r1 and o3 mini across chronic health conditions

Arxiv:2503.

UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Uniworld-v1: high-resolution semantic encoders for unified visual understanding and generation

Arxiv:2506.

SLR: An Automated Synthesis Framework for Scalable Logical Reasoning

Slr: an automated synthesis framework for scalable logical reasoning

Arxiv:2506.

Exploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues

Exploring big five personality and ai capability effects in LLM-simulated negotiation dialogues

Arxiv:2506.

Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations

Dual-objective 強化学習 with novel hamilton-jacobi-bellman formulations

Arxiv:2506.

Explainable Rule Application via Structured Prompting: A Neural-Symbolic Approach

Explainable rule application via structured prompting: a neural-symbolic approach

Arxiv:2506.

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning

Multimodal fused learning for solving the generalized traveling salesman problem in robotic task planning

Arxiv:2506.

When Can Model-Free Reinforcement Learning be Enough for Thinking?

When can モデル-free 強化学習 be enough for thinking?

Arxiv:2506.

The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making

The medperturb データセット: what non-content perturbations reveal about human and clinical LLM decision making

Arxiv:2506.

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models

Base-q: バイアス and asymmetric scaling enhanced rotational quantization for large language models

Arxiv:2506.

Contraction Actor-Critic: Contraction Metric-Guided Reinforcement Learning for Robust Path Tracking

Contraction actor-critic: contraction metric-guided 強化学習 for robust path tracking

Arxiv:2506.

RAST: Reasoning Activation in LLMs via Small-model Transfer

Rast: reasoning activation in llms via small-モデル transfer

Arxiv:2506.

BatteryBERT for Realistic Battery Fault Detection Using Point-Masked Signal Modeling

Batterybert for realistic battery fault detection using point-masked signal modeling

Arxiv:2506.

SafeMimic: Towards Safe and Autonomous Human-to-Robot Imitation for Mobile Manipulation

Safemimic: towards safe and 自律的 human-to-robot imitation for mobile manipulation

Arxiv:2506.

TrainVerify: Equivalence-Based Verification for Distributed LLM Training

Trainverify: equivalence-based verification for distributed LLM 学習

Arxiv:2506.

JETHICS: Japanese Ethics Understanding Evaluation Dataset

Jethics: japanese 倫理 understanding evaluation データセット

Arxiv:2506.

Can structural correspondences ground real world representational content in Large Language Models?

Can structural correspondences ground real world representational content in large language models?

Arxiv:2506.

Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation

Joint tensor-train parameterization for efficient and expressive low-rank adaptation

Arxiv:2506.

Grounding Language Models with Semantic Digital Twins for Robotic Planning

Grounding language models with semantic digital twins for robotic planning

Arxiv:2506.

Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples

Relic: enhancing reward モデル generalization for low-resource indic languages with few-shot examples

Arxiv:2506.

BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios

Bida: a bi-level interaction decision-making アルゴリズム for 自律的 vehicles in dynamic traffic scenarios

Arxiv:2506.

AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions

Ai-driven tools in modern software quality assurance: an assessment of benefits, challenges, and future directions

Arxiv:2506.

Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces

Distribution parameter actor-critic: shifting the agent-environment boundary for diverse action spaces

Arxiv:2506.

The Role of Model Confidence on Bias Effects in Measured Uncertainties

The role of モデル confidence on バイアス effects in measured uncertainties

Arxiv:2506.

Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding

Metapath-based hyperbolic contrastive learning for heterogeneous graph embedding

Arxiv:2506.

Learning Dexterous Object Handover

Learning dexterous object handover

Arxiv:2506.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop

Anytraverse: an off-road traversability framework with vlm and human operator in the loop

Arxiv:2506.

Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs

Enhancing step-by-step and verifiable 医療 reasoning in mllms

Arxiv:2506.

Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond

Language bottleneck models: a framework for interpretable knowledge tracing and beyond

Arxiv:2506.

Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs

Tower+: bridging generality and translation specialization in multilingual llms

Arxiv:2506.

Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems

Dissecting the swe-bench leaderboards: profiling submitters and architectures of LLM- and agent-based repair systems

Arxiv:2506.

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory

Cds: knowledge component-driven data synthesis guided by cognitive 診断 theory

Arxiv:2501.

LLM-Guided Indoor Navigation with Multimodal Map Understanding

LLM-guided indoor navigation with multimodal map understanding

Arxiv:2503.

Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage

Towards ai-driven policing: interdisciplinary knowledge discovery from police body-worn camera footage

Arxiv:2504.

On Path to Multimodal Historical Reasoning: HistBench and HistAgent

On path to multimodal historical reasoning: histbench and histagent

Arxiv:2505.

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents

Riosworld: benchmarking the risk of multimodal computer-use agents

Arxiv:2506.

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback

Automated skill discovery for language agents through exploration and iterative feedback

Arxiv:2506.

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning

Lars: latent reasoning skills for chain-of-thought reasoning

Arxiv:2312.

Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?

Dual thinking and logical processing -- are multi-modal large language models closing the gap with human vision ?

Arxiv:2406.

Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving

Efficient mixture-of-expert for video-based driver state and physiological multi-task estimation in conditional 自律的 driving

Arxiv:2410.

FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system

Falcon: feedback-driven adaptive long/short-term memory reinforced coding optimization system

Arxiv:2410.

Incivility and Rigidity: The Risks of Fine-Tuning LLMs for Political Argumentation

Incivility and rigidity: the risks of fine-tuning llms for political argumentation

Arxiv:2411.

FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting

Fdllm: a dedicated detector for black-box llms fingerprinting

Arxiv:2501.

FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response

Frida to the rescue! analyzing synthetic data effectiveness in object-based common sense reasoning for disaster response

Arxiv:2502.

AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation

Aligndistil: token-level language モデル alignment as adaptive 政策 distillation

Arxiv:2503.

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

Can we detect failures without failure data? uncertainty-aware runtime failure detection for imitation learning policies

Arxiv:2503.

TALE: A Tool-Augmented Framework for Reference-Free Evaluation of Large Language Models

Tale: a tool-augmented framework for reference-free evaluation of large language models

Arxiv:2504.

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement

Calibrating pre-trained language classifiers on LLM-generated noisy labels via iterative refinement

Arxiv:2505.

KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider

Kvcache cache in the wild: characterizing and optimizing kvcache cache at a large クラウド provider

Arxiv:2506.

SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code

Safegenbench: a benchmark framework for セキュリティ vulnerability detection in LLM-generated code

Arxiv:2506.

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes

Sde-sql: enhancing text-to-sql generation in large language models via self-driven exploration with sql probes

Arxiv:2506.

PlantBert: An Open Source Language Model for Plant Science

Plantbert: an オープンソース language モデル for plant science

Arxiv:2506.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving

Using language and road manuals to inform map reconstruction for 自律的 driving

Arxiv:2506.

The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI

The memory paradox: why our brains need knowledge in an age of ai

Arxiv:2506.

Autonomous Computer Vision Development with Agentic AI

自律的 コンピュータビジョン development with agentic ai

Arxiv:2506.

LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment

Learnalign: reasoning data selection for 強化学習 in large language models based on improved gradient alignment

Arxiv:2506.

SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration

Sp-vla: a joint モデル scheduling and token pruning approach for vla モデル acceleration

Arxiv:2506.

LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction

Leverb: humanoid whole-body control with latent vision-language instruction

Arxiv:2506.

LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning

Lazyeviction: lagged kv eviction with attention pattern observation for efficient long reasoning

Arxiv:2506.

Quantum Fisher-Preconditioned Reinforcement Learning: From Single-Qubit Control to Rayleigh-Fading Link Adaptation

Quantum fisher-preconditioned 強化学習: from single-qubit control to rayleigh-fading link adaptation

Arxiv:2506.

Investigating Lagrangian Neural Networks for Infinite Horizon Planning in Quadrupedal Locomotion

Investigating lagrangian neural networks for infinite horizon planning in quadrupedal locomotion

Arxiv:2506.

Solving Zero-Sum Convex Markov Games

Solving zero-sum convex markov games

Arxiv:2506.

When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework

When does divide and conquer work for long context LLM? a noise decomposition framework

Arxiv:2506.

Improvement of Nuclide Detection through Graph Spectroscopic Analysis Framework and its Application to Nuclear Facility Upset Detection

Improvement of nuclide detection through graph spectroscopic analysis framework and its application to nuclear facility upset detection

Arxiv:2506.

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity

Codediffuser: attention-enhanced diffusion 政策 via vlm-generated code for instruction ambiguity

Arxiv:2506.

Boltzmann Classifier: A Thermodynamic-Inspired Approach to Supervised Learning

Boltzmann classifier: a thermodynamic-inspired approach to supervised learning

Arxiv:2505.

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening

Rewarding the unlikely: lifting grpo beyond distribution sharpening

Arxiv:2506.

Safe Guaranteed Exploration for Non-linear Systems

Safe guaranteed exploration for non-linear systems

Arxiv:2402.

HSTU-BLaIR: Lightweight Contrastive Text Embedding for Generative Recommender

Hstu-blair: lightweight contrastive text embedding for generative recommender

Arxiv:2504.

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

Reinflow: fine-tuning flow matching 政策 with online 強化学習

Arxiv:2505.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning

Compiler-r1: towards agentic compiler auto-tuning with 強化学習

Arxiv:2506.

MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction

Monetv2: enhanced motion network for freehand 3d ultrasound reconstruction

Arxiv:2506.

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Mem1: learning to synergize memory and reasoning for efficient long-horizon agents

Arxiv:2506.

A Technical Study into 0.5B Reasoning Language Models

A technical study into 0.5b reasoning language models

Arxiv:2506.

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Xgen-mm (blip-3): a family of open large multimodal models

Arxiv:2408.

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models

V2x-vlm: end-to-end v2x cooperative 自律的 driving through large vision-language models

Arxiv:2408.

ShapeLib: Designing a library of programmatic 3D shape abstractions with Large Language Models

Shapelib: designing a library of programmatic 3d shape abstractions with large language models

Arxiv:2502.

Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets

Robo2vlm: visual question answering from large-scale in-the-wild robot manipulation datasets

Arxiv:2505.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning

Med-u1: incentivizing unified 医療 reasoning in llms via large-scale 強化学習

Arxiv:2506.

Serving Large Language Models on Huawei CloudMatrix384

Serving large language models on huawei cloudmatrix384

Arxiv:2506.

S$^2$GPT-PINNs: Sparse and Small models for PDEs

S$^2$GPT-pinns: sparse and small models for pdes

Arxiv:2506.

BuildingBRep-11K: Precise Multi-Storey B-Rep Building Solids with Rich Layout Metadata

Buildingbrep-11k: precise multi-storey b-rep building solids with rich layout metadata

Arxiv:2506.

Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU

Mr. snuffleupagus at semeval-2025 task 4: unlearning factual knowledge from llms using adaptive rmu

Arxiv:2506.

DeepRTL2: A Versatile Model for RTL-Related Tasks

Deeprtl2: a versatile モデル for rtl-related tasks

Arxiv:2506.

Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learning

Joint optimization of age of information and energy consumption in nr-v2x system based on deep 強化学習

Arxiv:2407.

SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments

Shakti: a 2.5 billion parameter small language モデル optimized for edge ai and low-resource environments

Arxiv:2410.

LLMs Struggle to Perform Counterfactual Reasoning with Parametric Knowledge

Llms struggle to perform counterfactual reasoning with parametric knowledge

Arxiv:2506.

$\texttt{SPECS}$: Faster Test-Time Scaling through Speculative Drafts

$\texttt{specs}$: faster test-time scaling through speculative drafts

Arxiv:2506.

The Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language Models

The safety reminder: a soft prompt to reactivate delayed safety awareness in vision-language models

Arxiv:2506.

ContextBench: Modifying Contexts for Targeted Latent Activation

Contextbench: modifying contexts for targeted latent activation

Arxiv:2506.

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts

Sysformer: safeguarding frozen large language models with adaptive system prompts

Arxiv:2506.

Deep Reinforcement Learning Xiangqi Player with Monte Carlo Tree Search

Deep 強化学習 xiangqi player with monte carlo tree search

Arxiv:2506.

Bayesian Epistemology with Weighted Authority: A Formal Architecture for Truth-Promoting Autonomous Scientific Reasoning

Bayesian epistemology with weighted authority: a formal architecture for truth-promoting 自律的 scientific reasoning

Arxiv:2506.

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior

Large language models are near-optimal decision-makers with a non-human learning behavior

Arxiv:2506.

Agentic Personalisation of Cross-Channel Marketing Experiences

Agentic personalisation of cross-channel marketing experiences

Arxiv:2506.

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning

Ml-master: towards ai-for-ai via integration of exploration and reasoning

Arxiv:2506.

Advancing Harmful Content Detection in Organizational Research: Integrating Large Language Models with Elo Rating System

Advancing harmful content detection in organizational 研究: integrating large language models with elo rating system

Arxiv:2506.

A Community-driven vision for a new Knowledge Resource for AI

A community-driven vision for a new knowledge resource for ai

Arxiv:2506.

Elevating Styled Mahjong Agents with Learning from Demonstration

Elevating styled mahjong agents with learning from demonstration

Arxiv:2506.

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving

Towards advanced mathematical reasoning for llms via first-order logic theorem proving

Arxiv:2506.

Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models

Mathematical proof as a litmus test: revealing failure modes of advanced large reasoning models

Arxiv:2506.

Ignition Phase : Standard Training for Fast Adversarial Robustness

Ignition phase : standard 学習 for fast adversarial robustness

Arxiv:2506.

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs

LLM web dynamics: tracing モデル collapse in a network of llms

Arxiv:2506.

What Do Latent Action Models Actually Learn?

What do latent action models actually learn?

Arxiv:2506.

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap

Blur: a benchmark for LLM unlearning robust to forget-retain overlap

Arxiv:2506.

Learn from the Past: Fast Sparse Indexing for Large Language Model Decoding

Learn from the past: fast sparse indexing for 大規模言語モデル decoding

Arxiv:2506.

Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models

Generalisation bounds of zero-shot economic forecasting using time series foundation models

Arxiv:2506.

MDPO: Multi-Granularity Direct Preference Optimization for Mathematical Reasoning

Mdpo: multi-granularity direct preference optimization for mathematical reasoning

Arxiv:2506.

Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling

Every rollout counts: optimal resource allocation for efficient test-time scaling

Arxiv:2506.

Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies

Alternates, assemble! selecting optimal alternates for citizens' assemblies

Arxiv:2506.

daDPO: Distribution-Aware DPO for Distilling Conversational Abilities

Dadpo: distribution-aware dpo for distilling conversational abilities

Arxiv:2506.

UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation

Unimate: a unified モデル for mechanical metamaterial generation, property prediction, and condition confirmation

Arxiv:2506.

MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference

Madakv: adaptive modality-perception kv cache eviction for efficient multimodal long-context 推論

Arxiv:2506.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture

A study of hybrid and evolutionary metaheuristics for single hidden layer feedforward ニューラルネットワーク architecture

Arxiv:2506.

Veracity: An Open-Source AI Fact-Checking System

Veracity: an open-source ai fact-checking system

Arxiv:2506.

Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images

Cross-modality learning for predicting ihc biomarkers from h&e-stained whole-slide images

Arxiv:2506.

Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute

Fractional reasoning via latent steering vectors improves 推論 time compute

Arxiv:2506.

Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning

Language models can perform single-utterance self-correction of perturbed reasoning

Arxiv:2506.

Beyond Audio and Pose: A General-Purpose Framework for Video Synchronization

Beyond audio and pose: a general-purpose framework for video synchronization

Arxiv:2506.

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction

Autohformer: efficient hierarchical autoregressive トランスフォーマー for time series prediction

Arxiv:2506.

EvoLM: In Search of Lost Language Model Training Dynamics

Evolm: in search of lost language モデル 学習 dynamics

Arxiv:2506.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling

Dynscaling: efficient verifier-free 推論 scaling via dynamic and integrated sampling

Arxiv:2506.

Probing the Robustness of Large Language Models Safety to Latent Perturbations

Probing the robustness of large language models safety to latent perturbations

Arxiv:2506.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

Gflowgr: fine-tuning generative recommendation frameworks with generative flow networks

Arxiv:2506.

GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning

Grpo-care: consistency-aware 強化学習 for multimodal reasoning

Arxiv:2506.

PRISON: Unmasking the Criminal Potential of Large Language Models

Prison: unmasking the criminal potential of large language models

Arxiv:2506.

Under the Shadow of Babel: How Language Shapes Reasoning in LLMs

Under the shadow of babel: how language shapes reasoning in llms

Arxiv:2506.

On using AI for EEG-based BCI applications: problems, current challenges and future trends

On using ai for eeg-based bci applications: problems, current challenges and future trends

Arxiv:2506.

From Teacher to Student: Tracking Memorization Through Model Distillation

From teacher to student: tracking memorization through モデル distillation

Arxiv:2506.

CF-Seg: Counterfactuals meet Segmentation

Cf-seg: counterfactuals meet segmentation

Arxiv:2506.

Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping

Synthetic als-eeg data augmentation for als 診断 using conditional wgan with weight clipping

Arxiv:2506.

CapsDT: Diffusion-Transformer for Capsule Robot Manipulation

Capsdt: diffusion-トランスフォーマー for capsule robot manipulation

Arxiv:2506.

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap

人工知能 for atmospheric sciences: a 研究 roadmap

Arxiv:2506.

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective

Next-token prediction should be ambiguity-sensitive: a meta-learning perspective

Arxiv:2506.

Analyzing the Influence of Knowledge Graph Information on Relation Extraction

Analyzing the influence of knowledge graph information on relation extraction

Arxiv:2506.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Drag-and-drop llms: zero-shot prompt-to-weights

Arxiv:2506.

StoryWriter: A Multi-Agent Framework for Long Story Generation

Storywriter: a multi-agent framework for long story generation

Arxiv:2506.

Towards Generalizable Generic Harmful Speech Datasets for Implicit Hate Speech Detection

Towards generalizable generic harmful speech datasets for implicit hate speech detection

Arxiv:2506.

Spotting tell-tale visual artifacts in face swapping videos: strengths and pitfalls of CNN detectors

Spotting tell-tale visual artifacts in face swapping videos: strengths and pitfalls of cnn detectors

Arxiv:2506.

From Semantic To Instance: A Semi-Self-Supervised Learning Approach

From semantic to instance: a semi-self-supervised learning approach

Arxiv:2506.

Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control

Reimagination with test-time observation interventions: distractor-robust world モデル predictions for visual モデル predictive control

Arxiv:2506.

Measuring (a Sufficient) World Model in LLMs: A Variance Decomposition Framework

Measuring (a sufficient) world モデル in llms: a variance decomposition framework

Arxiv:2506.

Energy-Based Transfer for Reinforcement Learning

Energy-based transfer for 強化学習

Arxiv:2506.

Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images

Hybrid attention network for accurate breast tumor segmentation in ultrasound images

Arxiv:2506.

History-Augmented Vision-Language Models for Frontier-Based Zero-Shot Object Navigation

History-augmented vision-language models for frontier-based zero-shot object navigation

Arxiv:2506.

Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation

Latent noise injection for private and statistically aligned synthetic data generation

Arxiv:2506.

SemAgent: A Semantics Aware Program Repair Agent

Semagent: a semantics aware program repair agent

Arxiv:2506.

A Minimalist Optimizer Design for LLM Pretraining

A minimalist optimizer design for LLM pretraining

Arxiv:2506.

A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation

A simple contrastive framework of item tokenization for generative recommendation

Arxiv:2506.

From Prompts to Constructs: A Dual-Validity Framework for LLM Research in Psychology

From prompts to constructs: a dual-validity framework for LLM 研究 in psychology

Arxiv:2506.

Large Language Models as Psychological Simulators: A Methodological Guide

Large language models as psychological simulators: a methodological guide

Arxiv:2506.

ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models

Reasongrm: enhancing generative reward models through large reasoning models

Arxiv:2506.

TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data

Tricon-sf: a triple-shuffle and contribution-aware serial federated learning framework for heterogeneous ヘルスケア data

Arxiv:2506.

Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation

Off-政策 actor-critic for adversarial observation robustness: virtual alternative 学習 via symmetric 政策 evaluation

Arxiv:2506.

MIST: Jailbreaking Black-box Large Language Models via Iterative Semantic Tuning

Mist: jailbreaking black-box large language models via iterative semantic tuning

Arxiv:2506.

Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning

Robust dynamic material handling via adaptive constrained evolutionary 強化学習

Arxiv:2506.

Towards Effective Complementary Security Analysis using Large Language Models

Towards effective complementary セキュリティ analysis using large language models

Arxiv:2506.

Single-shot thermometry of simulated Bose--Einstein condensates using artificial intelligence

Single-shot thermometry of simulated bose--einstein condensates using 人工知能

Arxiv:2506.

Latent Concept Disentanglement in Transformer-based Language Models

Latent concept disentanglement in トランスフォーマー-based language models

Arxiv:2506.

TeXpert: A Multi-Level Benchmark for Evaluating LaTeX Code Generation by LLMs

Texpert: a multi-level benchmark for evaluating latex code generation by llms

Arxiv:2506.

From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers

From concepts to components: concept-agnostic attention module discovery in transformers

Arxiv:2506.

LLM-Based Bot Broadens the Range of Arguments in Online Discussions, Even When Transparently Disclosed as AI

LLM-based bot broadens the range of arguments in online discussions, even when transparently disclosed as ai

Arxiv:2506.

MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation

Mexa: towards general multimodal reasoning with dynamic multi-expert aggregation

Arxiv:2506.

Rapid and Continuous Trust Evaluation for Effective Task Collaboration Through Siamese Model

Rapid and continuous trust evaluation for effective task コラボレーション through siamese モデル

Arxiv:2506.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Medi: metadata-guided diffusion models for mitigating biases in tumor classification

Arxiv:2506.

Do We Need Large VLMs for Spotting Soccer Actions?

Do we need large vlms for spotting soccer actions?

Arxiv:2506.

Towards AI Search Paradigm

Towards ai search paradigm

Arxiv:2506.

Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation

Long-term traffic simulation with interleaved autoregressive motion and scenario generation

Arxiv:2506.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

No free lunch: rethinking internal feedback for LLM reasoning

Arxiv:2506.

Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry

Alto: orchestrating distributed compound ai systems with nested ancestry

Arxiv:2403.

LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System

Laecips: large vision モデル assisted adaptive edge-クラウド コラボレーション for iot-based embodied intelligence system

Arxiv:2404.

Cost-effective Instruction Learning for Pathology Vision and Language Analysis

Cost-effective instruction learning for pathology vision and language analysis

Arxiv:2407.

Automatic dataset shift identification to support safe deployment of medical imaging AI

Automatic データセット shift identification to support safe deployment of 医療 imaging ai

Arxiv:2411.

Infrastructure for AI Agents

Infrastructure for ai agents

Arxiv:2501.

Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning

Rethinking external slow-thinking: from snowball errors to probability of correct reasoning

Arxiv:2501.

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Nature language モデル: deciphering the language of nature for scientific discovery

Arxiv:2502.

Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization

Planning of heuristics: strategic planning on large language models with monte carlo tree search for automating heuristic optimization

Arxiv:2502.

Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora

Synthesizing composite hierarchical structure from symbolic music corpora

Arxiv:2502.

Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection

Enhancing mathematical reasoning in large language models with self-consistency-based hallucination detection

Arxiv:2504.

Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs

Robust finite-memory 政策 gradients for hidden-モデル pomdps

Arxiv:2505.

SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale

Swarmthinkers: learning physically consistent atomic kmc transitions at scale

Arxiv:2505.

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

Revisiting multi-agent debate as test-time scaling: a systematic study of conditional effectiveness

Arxiv:2505.

The AI Imperative: Scaling High-Quality Peer Review in Machine Learning

The ai imperative: scaling high-quality peer review in 機械学習

Arxiv:2506.

Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence

Embodied web agents: bridging physical-digital realms for integrated agent intelligence

Arxiv:2506.

Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation

Efficient and flexible ニューラルネットワーク 学習 through layer-wise feedback propagation

Arxiv:2308.

Adaptive Experimental Design for Policy Learning

Adaptive experimental design for 政策 learning

Arxiv:2401.

Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention

Efficient event-based object detection: a hybrid ニューラルネットワーク with spatial and temporal attention

Arxiv:2403.

ChatDBG: Augmenting Debugging with Large Language Models

Chatdbg: augmenting debugging with large language models

Arxiv:2403.

A Survey of Automatic Hallucination Evaluation on Natural Language Generation

A survey of automatic hallucination evaluation on natural language generation

Arxiv:2404.

LogProber: Disentangling confidence from contamination in LLM responses

Logprober: disentangling confidence from contamination in LLM responses

Arxiv:2408.

Core Knowledge Deficits in Multi-Modal Language Models

Core knowledge deficits in multi-modal language models

Arxiv:2410.

Learning to Route LLMs with Confidence Tokens

Learning to route llms with confidence tokens

Arxiv:2410.

A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning

A implies b: circuit analysis in llms for propositional logical reasoning

Arxiv:2411.

Multi-Preference Optimization: Generalizing DPO via Set-Level Contrasts

Multi-preference optimization: generalizing dpo via set-level contrasts

Arxiv:2412.

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning

Each rank could be an expert: single-ranked mixture of experts lora for multi-task learning

Arxiv:2501.

Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning

Rethinking fine-tuning when scaling test-time compute: limiting confidence improves mathematical reasoning

Arxiv:2502.

Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization

Conformal 推論 under high-dimensional covariate shifts via likelihood-ratio regularization

Arxiv:2502.

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

From rag to memory: non-parametric continual learning for large language models

Arxiv:2502.

Batayan: A Filipino NLP benchmark for evaluating Large Language Models

Batayan: a filipino nlp benchmark for evaluating large language models

Arxiv:2502.

Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models

Dynamic knowledge integration for evidence-driven counter-argument generation with large language models

Arxiv:2503.

Efficient but Vulnerable: Benchmarking and Defending LLM Batch Prompting Attack

Efficient but vulnerable: benchmarking and defending LLM batch prompting attack

Arxiv:2503.

PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization

Pr-attack: coordinated prompt-rag attacks on retrieval-augmented generation in large language models via bilevel optimization

Arxiv:2504.

AerialVG: A Challenging Benchmark for Aerial Visual Grounding by Exploring Positional Relations

Aerialvg: a challenging benchmark for aerial visual grounding by exploring positional relations

Arxiv:2504.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Perceptionlm: open-access data and models for detailed visual understanding

Arxiv:2504.

Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities

Assessing tenstorrent's risc-v matmul acceleration capabilities

Arxiv:2505.

Mask-PINNs: Regulating Feature Distributions in Physics-Informed Neural Networks

Mask-pinns: regulating feature distributions in physics-informed neural networks

Arxiv:2505.

Learning Dynamics in Continual Pre-Training for Large Language Models

Learning dynamics in continual pre-学習 for large language models

Arxiv:2505.

Dynamic Risk Assessments for Offensive Cybersecurity Agents

Dynamic risk assessments for offensive cybersecurity agents

Arxiv:2505.

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

More thinking, less seeing? assessing amplified hallucination in multimodal reasoning models

Arxiv:2505.

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation

Graphrag-bench: challenging domain-specific reasoning for evaluating graph retrieval-augmented generation

Arxiv:2506.

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing

Reinforcing spatial reasoning in vision-language models with interwoven thinking and visual drawing

Arxiv:2506.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy

Tardis stride: a spatio-temporal road image データセット and world モデル for autonomy

Arxiv:2506.

Semantic Preprocessing for LLM-based Malware Analysis

Semantic preprocessing for LLM-based malware analysis

Arxiv:2506.

BreastDCEDL: Curating a Comprehensive DCE-MRI Dataset and developing a Transformer Implementation for Breast Cancer Treatment Response Prediction

Breastdcedl: curating a comprehensive dce-mri データセット and developing a トランスフォーマー implementation for breast cancer treatment response prediction

Arxiv:2506.

Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments

Screen hijack: visual poisoning of vlm agents in mobile environments

Arxiv:2506.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Adaptive guidance accelerates 強化学習 of reasoning models

Arxiv:2506.

Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework

Capturing polysemanticity with prism: a multi-concept feature description framework

Arxiv:2506.

MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement

Mle-star: 機械学習 engineering agent via search and targeted refinement

Arxiv:2506.

SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models

Simugen: multi-modal agentic framework for constructing block diagram-based simulation models

Arxiv:2506.

CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction

Coc: chain-of-cancer based on cross-modal autoregressive traction for survival prediction

Arxiv:2506.

Adaptive Two Sided Laplace Transforms: A Learnable, Interpretable, and Scalable Replacement for Self-Attention

Adaptive two sided laplace transforms: a learnable, interpretable, and scalable replacement for self-attention

Arxiv:2506.

Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration

Bohdi: heterogeneous LLM fusion with automatic data exploration

Arxiv:2506.

Descriptor-based Foundation Models for Molecular Property Prediction

Descriptor-based foundation models for molecular property prediction

Arxiv:2506.

Hidden Breakthroughs in Language Model Training

Hidden breakthroughs in language モデル 学習

Arxiv:2506.

On the Theoretical Understanding of Identifiable Sparse Autoencoders and Beyond

On the theoretical understanding of identifiable sparse autoencoders and beyond

Arxiv:2506.

A Scalable Factorization Approach for High-Order Structured Tensor Recovery

A scalable factorization approach for high-order structured tensor recovery

Arxiv:2506.

Joint User Priority and Power Scheduling for QoS-Aware WMMSE Precoding: A Constrained-Actor Attentive-Critic Approach

Joint user priority and power scheduling for qos-aware wmmse precoding: a constrained-actor attentive-critic approach

Arxiv:2506.

Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs

Efficient and プライバシー-preserving soft prompt transfer for llms

Arxiv:2506.

From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management

From pixels to csi: distilling latent dynamics for efficient wireless resource management

Arxiv:2506.

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design

Active mri 買収 with diffusion guided bayesian experimental design

Arxiv:2506.

Optimal Online Bookmaking for Any Number of Outcomes

Optimal online bookmaking for any number of outcomes

Arxiv:2506.

Data-Driven Policy Mapping for Safe RL-based Energy Management Systems

Data-driven 政策 mapping for safe rl-based energy management systems

Arxiv:2506.

GoalLadder: Incremental Goal Discovery with Vision-Language Models

Goalladder: incremental goal discovery with vision-language models

Arxiv:2506.

An efficient neuromorphic approach for collision avoidance combining Stack-CNN with event cameras

An efficient neuromorphic approach for collision avoidance combining stack-cnn with event cameras

Arxiv:2506.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Sparselora: accelerating LLM fine-tuning with contextual sparsity

Arxiv:2506.

Robust Reward Modeling via Causal Rubrics

Robust reward modeling via causal rubrics

Arxiv:2506.

Aligning ASR Evaluation with Human and LLM Judgments: Intelligibility Metrics Using Phonetic, Semantic, and NLI Approaches

Aligning asr evaluation with human and LLM judgments: intelligibility metrics using phonetic, semantic, and nli approaches

Arxiv:2506.

IsoNet: Causal Analysis of Multimodal Transformers for Neuromuscular Gesture Classification

Isonet: causal analysis of multimodal transformers for neuromuscular gesture classification

Arxiv:2506.

Predicting New Research Directions in Materials Science using Large Language Models and Concept Graphs

Predicting new 研究 directions in materials science using large language models and concept graphs

Arxiv:2506.

Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models

Reward-agnostic prompt optimization for text-to-image diffusion models

Arxiv:2506.

From Lab to Factory: Pitfalls and Guidelines for Self-/Unsupervised Defect Detection on Low-Quality Industrial Images

From lab to factory: pitfalls and guidelines for self-/unsupervised defect detection on low-quality industrial images

Arxiv:2506.

RocketStack: A level-aware deep recursive ensemble learning framework with exploratory feature fusion and model pruning dynamics

Rocketstack: a level-aware deep recursive ensemble learning framework with exploratory feature fusion and モデル pruning dynamics

Arxiv:2506.

BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning

Bread: branched rollouts from expert anchors bridge sft & rl for reasoning

Arxiv:2506.

Compilation, Optimization, Error Mitigation, and Machine Learning in Quantum Algorithms

Compilation, optimization, error mitigation, and 機械学習 in quantum algorithms

Arxiv:2506.

Implicit neural representations for accurate estimation of the standard model of white matter

Implicit neural representations for accurate estimation of the standard モデル of white matter

Arxiv:2506.

Superconducting Qubit Readout Using Next-Generation Reservoir Computing

Superconducting qubit readout using next-generation reservoir computing

Arxiv:2506.

Privacy-Preserving in Connected and Autonomous Vehicles Through Vision to Text Transformation

プライバシー-preserving in connected and 自律的 vehicles through vision to text transformation

Arxiv:2506.

Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls

Contactless precision steering of particles in a fluid inside a cube with rotating walls

Arxiv:2506.

Feedback-driven recurrent quantum neural network universality

Feedback-driven recurrent quantum ニューラルネットワーク universality

Arxiv:2506.

Initial Investigation of LLM-Assisted Development of Rule-Based Clinical NLP System

Initial investigation of LLM-assisted development of rule-based clinical nlp system

Arxiv:2506.

Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test

Enhancing expressivity of quantum neural networks based on the swap test

Arxiv:2506.

MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models

Mucar: benchmarking multilingual cross-modal ambiguity resolution for multimodal large language models

Arxiv:2506.

Empowering Near-Field Communications in Low-Altitude Economy with LLM: Fundamentals, Potentials, Solutions, and Future Directions

Empowering near-field communications in low-altitude economy with LLM: fundamentals, potentials, solutions, and future directions

Arxiv:2506.

Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks

Deep-reinforcement-learning-based aoi-aware resource allocation for ris-aided iov networks

Arxiv:2406.

Medha: Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations

Medha: efficiently serving multi-million context length LLM 推論 requests without approximations

Arxiv:2409.

COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework

Cos-dpo: conditioned one-shot multi-objective fine-tuning framework

Arxiv:2410.

Training Multi-Layer Binary Neural Networks With Local Binary Error Signals

学習 multi-layer binary neural networks with local binary error signals

Arxiv:2412.

Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping

Ladder-residual: parallelism-aware architecture for accelerating large モデル 推論 with communication overlapping

Arxiv:2501.

Celo: Training Versatile Learned Optimizers on a Compute Diet

Celo: 学習 versatile learned optimizers on a compute diet

Arxiv:2501.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time

On almost surely safe alignment of large language models at 推論-time

Arxiv:2502.

Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models

Membership 推論 attack should move on to distributional statistics for distilled generative models

Arxiv:2502.

DVFS-Aware DNN Inference on GPUs: Latency Modeling and Performance Analysis

Dvfs-aware dnn 推論 on gpus: latency modeling and performance analysis

Arxiv:2502.

Provably Efficient Online RLHF with One-Pass Reward Modeling

Provably efficient online rlhf with one-pass reward modeling

Arxiv:2502.

Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness

Multi-agent multi-armed bandits with minimum reward guarantee fairness

Arxiv:2502.

Robust Hallucination Detection in LLMs via Adaptive Token Selection

Robust hallucination detection in llms via adaptive token selection

Arxiv:2504.

LLM Agents for Bargaining with Utility-based Feedback

LLM agents for bargaining with utility-based feedback

Arxiv:2505.

Kinetics: Rethinking Test-Time Scaling Laws

Kinetics: rethinking test-time scaling laws

Arxiv:2506.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models

Domain specific benchmarks for evaluating multimodal large language models

Arxiv:2506.

Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs

Calibrated predictive lower bounds on time-to-unsafe-sampling in llms

Arxiv:2506.

Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems

Quantum-informed contrastive learning with dynamic mixup augmentation for class-imbalanced expert systems

Arxiv:2506.

Solving a class of stochastic optimal control problems by physics-informed neural networks

Arxiv:2402.

Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments

Unraveling the interplay between carryover effects and reward autocorrelations in switchback experiments

Arxiv:2403.

A Sparse Tensor Generator with Efficient Feature Extraction

A sparse tensor generator with efficient feature extraction

Arxiv:2405.

Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning

Reconfigurable intelligent surface assisted vec based on multi-agent 強化学習

Arxiv:2406.

AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation

Alphatrans: a neuro-symbolic compositional approach for repository-level code translation and validation

Arxiv:2410.

Problem Space Transformations for Out-of-Distribution Generalisation in Behavioural Cloning

Problem space transformations for out-of-distribution generalisation in behavioural cloning

Arxiv:2411.

On Domain-Adaptive Post-Training for Multimodal Large Language Models

On domain-adaptive post-学習 for multimodal large language models

Arxiv:2411.

DeepGDel: Deep Learning-based Gene Deletion Prediction Framework for Growth-Coupled Production in Genome-Scale Metabolic Models

Deepgdel: ディープラーニング-based gene deletion prediction framework for growth-coupled production in genome-scale metabolic models

Arxiv:2504.

Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction

Statistical learning for heterogeneous treatment effects: pretraining, prognosis, and prediction

Arxiv:2505.

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks

Code graph モデル (cgm): a graph-integrated 大規模言語モデル for repository-level software engineering tasks

Arxiv:2505.

Statistical Inference under Performativity

Statistical 推論 under performativity

Arxiv:2505.

From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots

From experts to a generalist: toward general whole-body control for humanoid robots

Arxiv:2506.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models

Min-p, max exaggeration: a critical analysis of min-p sampling in language models

Arxiv:2506.

Advancing Stochastic 3-SAT Solvers by Dissipating Oversatisfied Constraints

Advancing stochastic 3-sat solvers by dissipating oversatisfied constraints

Arxiv:2506.

Graphics4Science: Computer Graphics for Scientific Impacts

Graphics4science: computer graphics for scientific impacts

Arxiv:2506.

VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal

Veigar: view-consistent explicit inpainting and geometry alignment for 3d object removal

Arxiv:2506.

CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization

Cp$^2$: leveraging geometry for conformal prediction via canonicalization

Arxiv:2506.

SycnMapV2: Robust and Adaptive Unsupervised Segmentation

Sycnmapv2: robust and adaptive unsupervised segmentation

Arxiv:2506.

Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details

Hunyuan3d 2.5: towards high-fidelity 3d assets generation with ultimate details

Arxiv:2506.

Instituto de Telecomunica\c{c}\~oes at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning

Instituto de telecomunica\c{c}\~oes at iwslt 2025: aligning small-scale speech and language models for speech-to-text learning

Arxiv:2506.

TransDreamerV3: Implanting Transformer In DreamerV3

Transdreamerv3: implanting トランスフォーマー in dreamerv3

Arxiv:2506.

Part$^{2}$GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splatting

Part$^{2}$gs: part-aware modeling of articulated objects using 3d gaussian splatting

Arxiv:2506.

MonoSOWA: Scalable monocular 3D Object detector Without human Annotations

Monosowa: scalable monocular 3d object detector without human annotations

Arxiv:2501.

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations

Rl2grid: benchmarking 強化学習 in power grid operations

Arxiv:2503.

Essential-Web v1.0: 24T tokens of organized web data

Essential-web v1.0: 24t tokens of organized web data

Arxiv:2506.

Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3

Enhancing document-level question answering via multi-hop retrieval-augmented generation with llama 3

Arxiv:2506.

Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments

Prmpt2adpt: prompt-based zero-shot domain adaptation for resource-constrained environments

Arxiv:2506.

DreamCube: 3D Panorama Generation via Multi-plane Synchronization

Dreamcube: 3d panorama generation via multi-plane synchronization

Arxiv:2506.

EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback

Ef21 with bells & whistles: six algorithmic extensions of modern error feedback

Arxiv:2110.

A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis

A statistical evaluation of indoor lorawan environment-aware propagation for 6g: mlr, anova, and residual distribution analysis

Arxiv:2504.

OAgents: An Empirical Study of Building Effective Agents

Oagents: an empirical study of building effective agents

Arxiv:2506.

Linear-Time Primitives for Algorithm Development in Graphical Causal Inference

Linear-time primitives for アルゴリズム development in graphical causal 推論

Arxiv:2506.

OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents

Osworld-human: benchmarking the efficiency of computer-use agents

Arxiv:2506.

Consistency Verification in Ontology-Based Process Models with Parameter Interdependencies

Consistency verification in ontology-based process models with parameter interdependencies

Arxiv:2506.

Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction

Geometric learning in black-box optimization: a gnn framework for アルゴリズム performance prediction

Arxiv:2506.

Approximation Fixpoint Theory with Refined Approximation Spaces

Approximation fixpoint theory with refined approximation spaces

Arxiv:2506.

The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring

The role of explanation styles and perceived accuracy on decision making in predictive process monitoring

Arxiv:2506.

Interpretable Low-Dimensional Modeling of Spatiotemporal Agent States for Decision Making in Football Tactics

Interpretable low-dimensional modeling of spatiotemporal agent states for decision making in football tactics

Arxiv:2506.

Incentivizing High-quality Participation From Federated Learning Agents

Incentivizing high-quality participation from federated learning agents

Arxiv:2506.

Reinforcement learning for hybrid charging stations planning and operation considering fixed and mobile chargers

強化学習 for hybrid charging stations planning and operation considering fixed and mobile chargers

Arxiv:2506.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario

Ai's blind spots: geographic knowledge and diversity deficit in generated urban scenario

Arxiv:2506.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines

Real-time black-box optimization for dynamic discrete environments using embedded ising machines

Arxiv:2506.

A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models

A quantile regression approach for remaining useful life estimation with state space models

Arxiv:2506.

Dispositions and Roles of Generically Dependent Entities

Dispositions and roles of generically dependent entities

Arxiv:2506.

Are Bias Evaluation Methods Biased ?

Are バイアス evaluation methods biased ?

Arxiv:2506.

Chain-of-Trust: A Progressive Trust Evaluation Framework Enabled by Generative AI

Chain-of-trust: a progressive trust evaluation framework enabled by 生成AI

Arxiv:2506.

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

Cast: enhancing code retrieval-augmented generation with structural chunking via abstract syntax tree

Arxiv:2506.

Learning from M-Tuple Dominant Positive and Unlabeled Data

Learning from m-tuple dominant positive and unlabeled data

Arxiv:2506.

Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism

Cellular traffic prediction via deep state space models with attention mechanism

Arxiv:2506.

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation

Minifinetuning: low-data generation domain adaptation through corrective self-distillation

Arxiv:2506.

Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance

Federated incomplete multi-view clustering with globally fused graph guidance

Arxiv:2506.

Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification

Refined causal graph structure learning via curvature for brain disease classification

Arxiv:2506.

Studying and Improving Graph Neural Network-based Motif Estimation

Studying and improving graph ニューラルネットワーク-based motif estimation

Arxiv:2506.

Shadow defense against gradient inversion attack in federated learning

Arxiv:2506.

NeuronSeek: On Stability and Expressivity of Task-driven Neurons

Neuronseek: on stability and expressivity of task-driven neurons

Arxiv:2506.

Graph Diffusion that can Insert and Delete

Graph diffusion that can insert and delete

Arxiv:2506.

RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains

Recbayes: recurrent bayesian ad hoc teamwork in large partially observable domains

Arxiv:2506.

TRUST: Transparent, Robust and Ultra-Sparse Trees

Trust: transparent, robust and ultra-sparse trees

Arxiv:2506.

Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products

Linearithmic clean-up for vector-symbolic key-value memory with kroneker rotation products

Arxiv:2506.

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma

Unsupervised ディープラーニング モデル for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma

Arxiv:2506.

Finance Language Model Evaluation (FLaME)

Finance language モデル evaluation (flame)

Arxiv:2506.

Uncertainty Estimation by Human Perception versus Neural Models

Uncertainty estimation by human perception versus neural models

Arxiv:2506.

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers

Mor: better handling diverse queries with a mixture of sparse, dense, and human retrievers

Arxiv:2506.

KG-FGNN: Knowledge-guided GNN Foundation Model for Fertilisation-oriented Soil GHG Flux Prediction

Kg-fgnn: knowledge-guided gnn foundation モデル for fertilisation-oriented soil ghg flux prediction

Arxiv:2506.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning

Pncs:power-norm cosine similarity for diverse client selection in federated learning

Arxiv:2506.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior

Moir\'exnet: adaptive multi-scale demoir\'eing with linear attention test-time 学習 and truncated flow matching prior

Arxiv:2506.

Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging

Heterogeneous-modal unsupervised domain adaptation via latent space bridging

Arxiv:2506.

A Vietnamese Dataset for Text Segmentation and Multiple Choices Reading Comprehension

A vietnamese データセット for text segmentation and multiple choices reading comprehension

Arxiv:2506.

Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization

Advanced sign language video generation with compressed and quantized multi-condition tokenization

Arxiv:2506.

Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion

Double entendre: robust audio-based ai-generated lyrics detection via multi-view fusion

Arxiv:2506.

DIGMAPPER: A Modular System for Automated Geologic Map Digitization

Digmapper: a modular system for automated geologic map digitization

Arxiv:2506.

VRAIL: Vectorized Reward-based Attribution for Interpretable Learning

Vrail: vectorized reward-based attribution for interpretable learning

Arxiv:2506.

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Vision-guided chunking is all you need: enhancing rag with multimodal document understanding

Arxiv:2506.

A Hybrid DeBERTa and Gated Broad Learning System for Cyberbullying Detection in English Text

A hybrid deberta and gated broad learning system for cyberbullying detection in english text

Arxiv:2506.

CRIA: A Cross-View Interaction and Instance-Adapted Pre-training Framework for Generalizable EEG Representations

Cria: a cross-view interaction and instance-adapted pre-学習 framework for generalizable eeg representations

Arxiv:2506.

Improved Intelligibility of Dysarthric Speech using Conditional Flow Matching

Improved intelligibility of dysarthric speech using conditional flow matching

Arxiv:2506.

Category-based Galaxy Image Generation via Diffusion Models

Category-based galaxy image generation via diffusion models

Arxiv:2506.

Learning Multi-scale Spatial-frequency Features for Image Denoising

Learning multi-scale spatial-frequency features for image denoising

Arxiv:2506.

Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks

Improved exploration in gflownets via enhanced epistemic neural networks

Arxiv:2506.

Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation

Segment anything for satellite imagery: a strong baseline and a regional データセット for automatic field delineation

Arxiv:2506.

Reliable Few-shot Learning under Dual Noises

Reliable few-shot learning under dual noises

Arxiv:2506.

Watermarking Autoregressive Image Generation

Watermarking autoregressive image generation

Arxiv:2506.

CLIP-MG: Guiding Semantic Attention with Skeletal Pose Features and RGB Data for Micro-Gesture Recognition on the iMiGUE Dataset

Clip-mg: guiding semantic attention with skeletal pose features and rgb data for micro-gesture recognition on the imigue データセット

Arxiv:2506.

Robustness Evaluation of OCR-based Visual Document Understanding under Multi-Modal Adversarial Attacks

Robustness evaluation of ocr-based visual document understanding under multi-modal adversarial attacks

Arxiv:2506.

Efficient Transformations in Deep Learning Convolutional Neural Networks

Efficient transformations in ディープラーニング convolutional neural networks

Arxiv:2506.

Optimizing MoE Routers: Design, Implementation, and Evaluation in Transformer Models

Optimizing moe routers: design, implementation, and evaluation in トランスフォーマー models

Arxiv:2506.

Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks

Leveraging influence functions for resampling data in physics-informed neural networks

Arxiv:2506.

Consumer-friendly EEG-based Emotion Recognition System: A Multi-scale Convolutional Neural Network Approach

Consumer-friendly eeg-based emotion recognition system: a multi-scale convolutional ニューラルネットワーク approach

Arxiv:2506.

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities

Progressive 推論-time annealing of diffusion models for sampling from boltzmann densities

Arxiv:2506.

Subspace-Boosted Model Merging

Subspace-boosted モデル merging

Arxiv:2506.

One Sample is Enough to Make Conformal Prediction Robust

One sample is enough to make conformal prediction robust

Arxiv:2506.

Spatially-Aware Evaluation of Segmentation Uncertainty

Spatially-aware evaluation of segmentation uncertainty

Arxiv:2506.

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE

Flame: towards federated fine-tuning large language models through adaptive smoe

Arxiv:2506.

Modeling Public Perceptions of Science in Media

Modeling public perceptions of science in media

Arxiv:2506.

GeoGuess: Multimodal Reasoning based on Hierarchy of Visual Information in Street View

Geoguess: multimodal reasoning based on hierarchy of visual information in street view

Arxiv:2506.

Long-Context Generalization with Sparse Attention

Long-context generalization with sparse attention

Arxiv:2506.

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures

Relational ディープラーニング: challenges, foundations and next-generation architectures

Arxiv:2506.

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions

How to train your text-to-image モデル: evaluating design choices for synthetic 学習 captions

Arxiv:2506.

Fast and Stable Diffusion Planning through Variational Adaptive Weighting

Fast and stable diffusion planning through variational adaptive weighting

Arxiv:2506.

Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation

Generalizable agent modeling for agent コラボレーション-competition adaptation with multi-retrieval and dynamic generation

Arxiv:2506.

On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis

On 学習-test (mis)alignment in unsupervised combinatorial optimization: observation, empirical exploration, and analysis

Arxiv:2506.

LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization

Lm-spt: lm-aligned semantic distillation for speech tokenization

Arxiv:2506.

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching

Rapflow-tts: rapid and high-fidelity text-to-speech with improved consistency flow matching

Arxiv:2506.

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly

Language-informed synthesis of rational agent models for grounded theory-of-mind reasoning on-the-fly

Arxiv:2506.

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model

Pqcad-dm: progressive quantization and calibration-assisted distillation for extremely efficient diffusion モデル

Arxiv:2506.

What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity

What is the point of equality in 機械学習 fairness? beyond equality of opportunity

Arxiv:2506.

Loupe: A Generalizable and Adaptive Framework for Image Forgery Detection

Loupe: a generalizable and adaptive framework for image forgery detection

Arxiv:2506.

Bandwidth Selectors on Semiparametric Bayesian Networks

Bandwidth selectors on semiparametric bayesian networks

Arxiv:2506.

The Importance of Being Lazy: Scaling Limits of Continual Learning

The importance of being lazy: scaling limits of continual learning

Arxiv:2506.

With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You

With limited data for multimodal alignment, let the structure guide you

Arxiv:2506.

A deep learning and machine learning approach to predict neonatal death in the context of S\~ao Paulo

A ディープラーニング and 機械学習 approach to predict neonatal death in the context of s\~ao paulo

Arxiv:2506.

Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)

Formal control for uncertain systems via contract-based probabilistic surrogates (extended version)

Arxiv:2506.

LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation

Lscd: lomb-scargle conditioned diffusion for time series imputation

Arxiv:2506.

MAWIFlow Benchmark: Realistic Flow-Based Evaluation for Network Intrusion Detection

Mawiflow benchmark: realistic flow-based evaluation for network intrusion detection

Arxiv:2506.

Flow-Based Non-stationary Temporal Regime Causal Structure Learning

Flow-based non-stationary temporal regime causal structure learning

Arxiv:2506.

Identifiability of Deep Polynomial Neural Networks

Identifiability of deep polynomial neural networks

Arxiv:2506.

Robust Training with Data Augmentation for Medical Imaging Classification

Robust 学習 with data augmentation for 医療 imaging classification

Arxiv:2506.

Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models

Consistent sampling and simulation: molecular dynamics with energy-based diffusion models

Arxiv:2506.

Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity

Sparse-reg: improving sample complexity in offline 強化学習 using sparsity

Arxiv:2506.

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network

Proportional sensitivity in generative adversarial network (gan)-augmented brain tumor classification using convolutional ニューラルネットワーク

Arxiv:2506.

Continual Learning with Columnar Spiking Neural Networks

Continual learning with columnar spiking neural networks

Arxiv:2506.

Facial Landmark Visualization and Emotion Recognition Through Neural Networks

Facial landmark visualization and emotion recognition through neural networks

Arxiv:2506.

Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning

Network sparsity unlocks the scaling potential of deep 強化学習

Arxiv:2506.

Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens

Machine mental imagery: empower multimodal reasoning with latent visual tokens

Arxiv:2506.

Behaviour Planning: A Toolkit for Diverse Planning

Behaviour planning: a toolkit for diverse planning

Arxiv:2405.

POV Learning: Individual Alignment of Multimodal Models using Human Perception

Pov learning: individual alignment of multimodal models using human perception

Arxiv:2405.

Quantifying artificial intelligence through algorithmic generalization

Quantifying 人工知能 through algorithmic generalization

Arxiv:2411.

AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning

Autosculpt: a pattern-based モデル auto-pruning framework using 強化学習 and graph learning

Arxiv:2412.

AGI-Driven Generative Semantic Communications: Principles and Practices

Agi-driven generative semantic communications: principles and practices

Arxiv:2504.

Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation

Advancing embodied agent セキュリティ: from safety benchmarks to input moderation

Arxiv:2504.

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation

Preference-driven multi-objective combinatorial optimization with conditional computation

Arxiv:2506.

Voices of Her: Analyzing Gender Differences in the AI Publication World

Voices of her: analyzing gender differences in the ai publication world

Arxiv:2305.

Open-Set Graph Anomaly Detection via Normal Structure Regularisation

Open-set graph anomaly detection via normal structure regularisation

Arxiv:2311.

Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency

Guided absolutegrad: magnitude of gradients matters to explanation's localization and saliency

Arxiv:2404.

PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval

Promptdsi: prompt-based rehearsal-free instance-wise incremental learning for document retrieval

Arxiv:2406.

Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach

Understanding and reducing the class-dependent effects of data augmentation with a two-player game approach

Arxiv:2407.

MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension

Mapper: multimodal prior-guided parameter efficient tuning for referring expression comprehension

Arxiv:2409.

ALTA: Compiler-Based Analysis of Transformers

Alta: compiler-based analysis of transformers

Arxiv:2410.

Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation

Cyclic vision-language manipulator: towards reliable and fine-grained image interpretation for automated report generation

Arxiv:2411.

On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse

On the limits of language generation: trade-offs between hallucination and mode collapse

Arxiv:2411.

Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao

Learning multi-branch cooperation for enhanced click-through rate prediction at taobao

Arxiv:2411.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control

Song form-aware full-song text-to-lyrics generation with multi-level granularity syllable count control

Arxiv:2411.

Representation Learning of Point Cloud Upsampling in Global and Local Inputs

Representation learning of point クラウド upsampling in global and local inputs

Arxiv:2501.

Guaranteed prediction sets for functional surrogate models

Arxiv:2501.

Selective Use of Yannakakis' Algorithm to Improve Query Performance: Machine Learning to the Rescue

Selective use of yannakakis' アルゴリズム to improve query performance: 機械学習 to the rescue

Arxiv:2502.

Eau De $Q$-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

Eau de $q$-network: adaptive distillation of neural networks in deep 強化学習

Arxiv:2503.

QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation

Qg-sms: enhancing test item analysis via student modeling and simulation

Arxiv:2503.

Decentralized Collective World Model for Emergent Communication and Coordination

Decentralized collective world モデル for emergent communication and coordination

Arxiv:2504.

Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations

Arxiv:2504.

DeepSelective: Interpretable Prognosis Prediction via Feature Selection and Compression in EHR Data

Deepselective: interpretable prognosis prediction via feature selection and compression in ehr data

Arxiv:2504.

SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation

Spin-ode: stiff physics-informed neural ode for chemical reaction rate estimation

Arxiv:2505.

Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks

Representation learning with mutual influence of modalities for node classification in multi-modal heterogeneous networks

Arxiv:2505.

Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression

Breaking the compression ceiling: data-free pipeline for ultra-efficient delta compression

Arxiv:2505.

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis

Cryoccd: conditional cycle-consistent diffusion with biophysical modeling for cryo-em synthesis

Arxiv:2505.

Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning

Optimizing sensory neurons: nonlinear attention mechanisms for accelerated convergence in permutation-invariant neural networks for 強化学習

Arxiv:2506.

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution

Towards efficient few-shot graph neural architecture search via partitioning gradient contribution

Arxiv:2506.

Info-Coevolution: An Efficient Framework for Data Model Coevolution

Info-coevolution: an efficient framework for data モデル coevolution

Arxiv:2506.

Convergent Linear Representations of Emergent Misalignment

Convergent linear representations of emergent misalignment

Arxiv:2506.

Human-like Forgetting Curves in Deep Neural Networks

Human-like forgetting curves in deep neural networks

Arxiv:2506.

A Minimalist Method for Fine-tuning Text-to-Image Diffusion Models

A minimalist method for fine-tuning text-to-image diffusion models

Arxiv:2506.

Two Heads Are Better than One: Simulating Large Transformers with Small Ones

Two heads are better than one: simulating large transformers with small ones

Arxiv:2506.

Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review

機械学習 methods for small data and upstream bioprocessing applications: a comprehensive review

Arxiv:2506.

Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models

Decoupled classifier-free guidance for counterfactual diffusion models

Arxiv:2506.

Refining music sample identification with a self-supervised graph neural network

Refining music sample identification with a self-supervised graph ニューラルネットワーク

Arxiv:2506.

WebXAII: an open-source web framework to study human-XAI interaction

Webxaii: an open-source web framework to study human-xai interaction

Arxiv:2506.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis

Efficient retail video annotation: a robust key frame generation approach for product and customer interaction analysis

Arxiv:2506.

One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution

One-step diffusion for detail-rich and temporally consistent video super-resolution

Arxiv:2506.

Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction

Federated learning for mri-based brainage: a multicenter study on post-stroke functional outcome prediction

Arxiv:2506.

Sekai: A Video Dataset towards World Exploration

Sekai: a video データセット towards world exploration

Arxiv:2506.

Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks

Verifiable safety q-filters via hamilton-jacobi reachability and multiplicative q-networks

Arxiv:2506.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction

Development of a multiprocessing interface genetic アルゴリズム for optimising a multilayer perceptron for disease prediction

Arxiv:2506.

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics

Global context-aware representation learning for spatially resolved transcriptomics

Arxiv:2506.

An application of machine learning to the motion response prediction of floating assets

An application of 機械学習 to the motion response prediction of floating assets

Arxiv:2506.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems

Data-driven heat pump management: combining 機械学習 with anomaly detection for residential hot water systems

Arxiv:2506.

Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning

Tripartite weight-space ensemble for few-shot class-incremental learning

Arxiv:2506.

DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling

Deepj: graph convolutional transformers with differentiable pooling for patient trajectory modeling

Arxiv:2506.

Optimizing Bidding Strategies in First-Price Auctions in Binary Feedback Setting with Predictions

Optimizing bidding strategies in first-price auctions in binary feedback setting with predictions

Arxiv:2506.

AI-based modular warning machine for risk identification in proximity healthcare

Ai-based modular warning machine for risk identification in proximity ヘルスケア

Arxiv:2506.

Heterogeneous Federated Reinforcement Learning Using Wasserstein Barycenters

Heterogeneous federated 強化学習 using wasserstein barycenters

Arxiv:2506.

In-field Calibration of Low-Cost Sensors through XGBoost $\&$ Aggregate Sensor Data

In-field calibration of low-cost sensors through xgboost $\&$ aggregate sensor data

Arxiv:2506.

Improving Rectified Flow with Boundary Conditions

Improving rectified flow with boundary conditions

Arxiv:2506.

Job Market Cheat Codes: Prototyping Salary Prediction and Job Grouping with Synthetic Job Listings

Job market cheat codes: prototyping salary prediction and job grouping with synthetic job listings

Arxiv:2506.

T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders

T-shred: symbolic regression for regularization and モデル discovery with トランスフォーマー shallow recurrent decoders

Arxiv:2506.

Formal Models of Active Learning from Contrastive Examples

Formal models of active learning from contrastive examples

Arxiv:2506.

TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation

Trajdiff: diffusion bridge network with semantic alignment for trajectory similarity computation

Arxiv:2506.

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach

Clinically interpretable mortality prediction for icu patients with diabetes and atrial fibrillation: a 機械学習 approach

Arxiv:2506.

VectorEdits: A Dataset and Benchmark for Instruction-Based Editing of Vector Graphics

Vectoredits: a データセット and benchmark for instruction-based editing of vector graphics

Arxiv:2506.

Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI

Pieceformer: similarity-driven knowledge transfer via scalable graph トランスフォーマー in vlsi

Arxiv:2506.

Early Attentive Sparsification Accelerates Neural Speech Transcription

Early attentive sparsification accelerates neural speech transcription

Arxiv:2506.

Competing Bandits in Matching Markets via Super Stability

Competing bandits in matching markets via super stability

Arxiv:2506.

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion

Coral: disentangling latent representations in long-tailed diffusion

Arxiv:2506.

On the optimal regret of collaborative personalized linear bandits

Arxiv:2506.

One Period to Rule Them All: Identifying Critical Learning Periods in Deep Networks

One period to rule them all: identifying critical learning periods in deep networks

Arxiv:2506.

Bridging Brain with Foundation Models through Self-Supervised Learning

Bridging brain with foundation models through self-supervised learning

Arxiv:2506.

From Data to Decision: Data-Centric Infrastructure for Reproducible ML in Collaborative eScience

From data to decision: data-centric infrastructure for reproducible ml in collaborative escience

Arxiv:2506.

Floating-Point Neural Networks Are Provably Robust Universal Approximators

Floating-point neural networks are provably robust universal approximators

Arxiv:2506.

A Lightweight RL-Driven Deep Unfolding Network for Robust WMMSE Precoding in Massive MU-MIMO-OFDM Systems

A lightweight rl-driven deep unfolding network for robust wmmse precoding in massive mu-mimo-ofdm systems

Arxiv:2506.

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification

Mitigating over-squashing in graph neural networks by spectrum-preserving sparsification

Arxiv:2506.

Hallucination Level of Artificial Intelligence Whisperer: Case Speech Recognizing Pantterinousut Rap Song

Hallucination level of 人工知能 whisperer: case speech recognizing pantterinousut rap song

Arxiv:2506.

Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data

Think global, act local: bayesian causal discovery with language models in sequential data

Arxiv:2506.

Optimizing Multilingual Text-To-Speech with Accents & Emotions

Optimizing multilingual text-to-speech with accents & emotions

Arxiv:2506.

Signatures to help interpretability of anomalies

Arxiv:2506.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel

Bayesian optimization over bounded domains with the beta product kernel

Arxiv:2506.

Classification of Cattle Behavior and Detection of Heat (Estrus) using Sensor Data

Classification of cattle behavior and detection of heat (estrus) using sensor data

Arxiv:2506.

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification

State-space kolmogorov arnold networks for interpretable nonlinear system identification

Arxiv:2506.

Generating Directed Graphs with Dual Attention and Asymmetric Encoding

Generating directed graphs with dual attention and asymmetric encoding

Arxiv:2506.

EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems

Eformer: an effective edge-based トランスフォーマー for vehicle routing problems

Arxiv:2506.

Black-Box Privacy Attacks on Shared Representations in Multitask Learning

Black-box プライバシー attacks on shared representations in multitask learning

Arxiv:2506.

Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias

Manifold learning for personalized and label-free detection of cardiac arrhythmias

Arxiv:2506.

A Free Probabilistic Framework for Analyzing the Transformer-based Language Models

A free probabilistic framework for analyzing the トランスフォーマー-based language models

Arxiv:2506.

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics

Slepnet: spectral subgraph representation learning for neural dynamics

Arxiv:2506.

Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data

Learning causally predictable outcomes from psychiatric longitudinal data

Arxiv:2506.

A Distributional-Lifting Theorem for PAC Learning

A distributional-lifting theorem for pac learning

Arxiv:2506.

Mesh-Informed Neural Operator : A Transformer Generative Approach

Mesh-informed neural operator : a トランスフォーマー generative approach

Arxiv:2506.

Private Training & Data Generation by Clustering Embeddings

Private 学習 & data generation by clustering embeddings

Arxiv:2506.

SIDE: Semantic ID Embedding for effective learning from sequences

Side: semantic id embedding for effective learning from sequences

Arxiv:2506.

How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension

How many domains suffice for domain generalization? a tight characterization via the domain shattering dimension

Arxiv:2506.

Optimism Without Regularization: Constant Regret in Zero-Sum Games

Optimism without regularization: constant regret in zero-sum games

Arxiv:2506.

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps

Revisiting lora through the lens of parameter redundancy: spectral encoding helps

Arxiv:2506.

Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective

Exploring and improving initialization for deep graph neural networks: a signal propagation perspective

Arxiv:2506.

Robust Group Anomaly Detection for Quasi-Periodic Network Time Series

Robust group anomaly detection for quasi-periodic network time series

Arxiv:2506.

FedFitTech: A Baseline in Federated Learning for Fitness Tracking

Fedfittech: a baseline in federated learning for fitness tracking

Arxiv:2506.

Soft decision trees for survival analysis

Arxiv:2506.

Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning

Anomaly detection in event-triggered traffic time series via similarity learning

Arxiv:2506.

Optimal Depth of Neural Networks

Optimal depth of neural networks

Arxiv:2506.

Robust Reinforcement Learning for Discrete Compositional Generation via General Soft Operators

Robust 強化学習 for discrete compositional generation via general soft operators

Arxiv:2506.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation

The hidden cost of an image: quantifying the energy consumption of ai image generation

Arxiv:2506.

Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment

Scalable and reliable multi-agent 強化学習 for traffic assignment

Arxiv:2506.

Critical Appraisal of Fairness Metrics in Clinical Predictive AI

Critical appraisal of fairness metrics in clinical predictive ai

Arxiv:2506.

Navigating the Deep: Signature Extraction on Deep Neural Networks

Navigating the deep: signature extraction on deep neural networks

Arxiv:2506.

Deep generative models as the probability transformation functions

Arxiv:2506.

Variational Learning of Disentangled Representations

Variational learning of disentangled representations

Arxiv:2506.

Optimal Implicit Bias in Linear Regression

Optimal implicit バイアス in linear regression

Arxiv:2506.

Modern approaches to building effective interpretable models of the property market using machine learning

Modern approaches to building effective interpretable models of the property market using 機械学習

Arxiv:2506.

Sampling conditioned diffusions via Pathspace Projected Monte Carlo

Sampling conditioned diffusions via pathspace projected monte carlo

Arxiv:2506.

Pixel-wise Modulated Dice Loss for Medical Image Segmentation

Pixel-wise modulated dice loss for 医療 image segmentation

Arxiv:2506.

Approximate Ricci-flat Metrics for Calabi-Yau Manifolds

Approximate ricci-flat metrics for calabi-yau manifolds

Arxiv:2506.

Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces

Convergent methods for koopman operators on reproducing kernel hilbert spaces

Arxiv:2506.

Code Rate Optimization via Neural Polar Decoders

Code rate optimization via neural polar decoders

Arxiv:2506.

Fair Contracts in Principal-Agent Games with Heterogeneous Types

Fair contracts in principal-agent games with heterogeneous types

Arxiv:2506.

From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems

From local interactions to global operators: scalable gaussian process operator for physical systems

Arxiv:2506.

Pediatric Pancreas Segmentation from MRI Scans with Deep Learning

Pediatric pancreas segmentation from mri scans with ディープラーニング

Arxiv:2506.

Data-Agnostic Cardinality Learning from Imperfect Workloads

Data-agnostic cardinality learning from imperfect workloads

Arxiv:2506.

Diffusion-Based Hypothesis Testing and Change-Point Detection

Diffusion-based hypothesis testing and change-point detection

Arxiv:2506.

VideoGAN-based Trajectory Proposal for Automated Vehicles

Videogan-based trajectory proposal for automated vehicles

Arxiv:2506.

Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy

Malware classification leveraging nlp & 機械学習 for enhanced accuracy

Arxiv:2506.

Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation

Can ai dream of unseen galaxies? conditional diffusion モデル for galaxy morphology augmentation

Arxiv:2506.

Random feature approximation for general spectral methods

Arxiv:2506.

The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units

The condition number as a scale-invariant proxy for information encoding in neural units

Arxiv:2506.

Identifying Heterogeneity in Distributed Learning

Identifying heterogeneity in distributed learning

Arxiv:2506.

On Continuous Monitoring of Risk Violations under Unknown Shift

On continuous monitoring of risk violations under unknown shift

Arxiv:2506.

FlatCAD: Fast Curvature Regularization of Neural SDFs for CAD Models

Flatcad: fast curvature regularization of neural sdfs for cad models

Arxiv:2506.

Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards

Multi-armed bandits with 機械学習-generated surrogate rewards

Arxiv:2506.

The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing

The hitchhiker's guide to efficient, end-to-end, and tight dp auditing

Arxiv:2506.

Beyond Blur: A Fluid Perspective on Generative Diffusion Models

Beyond blur: a fluid perspective on generative diffusion models

Arxiv:2506.

RCNet: $\Delta\Sigma$ IADCs as Recurrent AutoEncoders

Rcnet: $\delta\sigma$ iadcs as recurrent autoencoders

Arxiv:2506.

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts

From data to knowledge: evaluating how efficiently language models learn facts

Arxiv:2506.

A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials

A neural operator based hybrid microscale モデル for multiscale simulation of rate-dependent materials

Arxiv:2506.

Simulating Correlated Electrons with Symmetry-Enforced Normalizing Flows

Simulating correlated electrons with symmetry-enforced normalizing flows

Arxiv:2506.

Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction

Bayesian joint モデル of multi-sensor and failure event data for multi-mode failure prediction

Arxiv:2506.

Universal Music Representations? Evaluating Foundation Models on World Music Corpora

Universal music representations? evaluating foundation models on world music corpora

Arxiv:2506.

Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks

Client selection strategies for federated semantic communications in heterogeneous iot networks

Arxiv:2506.

Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings

Generative modeling of full-atom protein conformations using latent diffusion on graph embeddings

Arxiv:2506.

Neural Polar Decoders for DNA Data Storage

Neural polar decoders for dna data storage

Arxiv:2506.

Schr\"odinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres

Schr\"odinger bridge matching for tree-structured costs and entropic wasserstein barycentres

Arxiv:2506.

On the generalization of Tanimoto-type kernels to real valued functions

On the generalization of tanimoto-type kernels to real valued functions

Arxiv:2007.

Sheaf Hypergraph Networks

Sheaf hypergraph networks

Arxiv:2309.

On the Robustness of Decision-Focused Learning

On the robustness of decision-focused learning

Arxiv:2311.

ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation

Icc: quantifying image caption concreteness for multimodal データセット curation

Arxiv:2403.

Client-Centered Federated Learning for Heterogeneous EHRs: Use Fewer Participants to Achieve the Same Performance

Client-centered federated learning for heterogeneous ehrs: use fewer participants to achieve the same performance

Arxiv:2404.

Graph is all you need? Lightweight data-agnostic neural architecture search without training

Graph is all you need? lightweight data-agnostic neural architecture search without 学習

Arxiv:2405.

Disentangling and Integrating Relational and Sensory Information in Transformer Architectures

Disentangling and integrating relational and sensory information in トランスフォーマー architectures

Arxiv:2405.

Distributional Adversarial Loss

Distributional adversarial loss

Arxiv:2406.

Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning

Semantic-aware spectrum sharing in internet of vehicles based on deep 強化学習

Arxiv:2406.

Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network

Resource allocation for twin maintenance and computing task processing in digital twin vehicular エッジコンピューティング network

Arxiv:2407.

Mobility-Aware Federated Self-supervised Learning in Vehicular Network

Mobility-aware federated self-supervised learning in vehicular network

Arxiv:2408.

DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing

Drl-based federated self-supervised learning for task offloading and resource allocation in isac-enabled vehicle エッジコンピューティング

Arxiv:2408.

Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances

Out-of-distribution detection: a task-oriented survey of recent advances

Arxiv:2409.

Diffusion & Adversarial Schr\"odinger Bridges via Iterative Proportional Markovian Fitting

Diffusion & adversarial schr\"odinger bridges via iterative proportional markovian fitting

Arxiv:2410.

Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation

Zero-shot class unlearning via layer-wise relevance analysis and neuronal path perturbation

Arxiv:2410.

Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval

Hopfield-fenchel-young networks: a unified framework for associative memory retrieval

Arxiv:2411.

Competing Bandits in Decentralized Contextual Matching Markets

Competing bandits in decentralized contextual matching markets

Arxiv:2411.

Bridging Text and Crystal Structures: Literature-driven Contrastive Learning for Materials Science

Bridging text and crystal structures: literature-driven contrastive learning for materials science

Arxiv:2501.

The Exploration of Error Bounds in Classification with Noisy Labels

The exploration of error bounds in classification with noisy labels

Arxiv:2501.

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans

Flow matching: markov kernels, stochastic processes and transport plans

Arxiv:2501.

DAL: A Practical Prior-Free Black-Box Framework for Non-Stationary Bandit Environments

Dal: a practical prior-free black-box framework for non-stationary bandit environments

Arxiv:2501.

Learning Model Successors

Learning モデル successors

Arxiv:2502.

Harnessing omnipresent oscillator networks as computational resource

Arxiv:2502.

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension

Discrepancies are virtue: weak-to-strong generalization through lens of intrinsic dimension

Arxiv:2502.

When and How Does CLIP Enable Domain and Compositional Generalization?

When and how does clip enable domain and compositional generalization?

Arxiv:2502.

Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning

Optimistically optimistic exploration for provably efficient infinite-horizon reinforcement and imitation learning

Arxiv:2502.

LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records

Labtop: a unified モデル for lab test outcome prediction on electronic health records

Arxiv:2502.

Near Optimal Decision Trees in a SPLIT Second

Near optimal decision trees in a split second

Arxiv:2502.

Sustainable Greenhouse Microclimate Modeling: A Comparative Analysis of Recurrent and Graph Neural Networks

Sustainable greenhouse microclimate modeling: a comparative analysis of recurrent and graph neural networks

Arxiv:2502.

Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach

Learning topology actions for power grid control: a graph-based soft-label imitation learning approach

Arxiv:2503.

Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks

Noise resilient over-the-air federated learning in heterogeneous wireless networks

Arxiv:2503.

ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion

Scalegnn: towards scalable graph neural networks via adaptive high-order neighboring feature fusion

Arxiv:2504.

Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence

Conditional front-door adjustment for heterogeneous treatment assignment effect estimation under non-adherence

Arxiv:2505.

Variance-Based Defense Against Blended Backdoor Attacks

Variance-based defense against blended backdoor attacks

Arxiv:2506.

Temporal horizons in forecasting: a performance-learnability trade-off

Arxiv:2506.

Effective Data Pruning through Score Extrapolation

Effective data pruning through score extrapolation

Arxiv:2506.

KCES: Training-Free Defense for Robust Graph Neural Networks via Kernel Complexity

Kces: 学習-free defense for robust graph neural networks via kernel complexity

Arxiv:2506.